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4,439 records
- Structure of the Circular-Dyadic Convolution Error
- Improved Scaling for Fast Mode of Ozaki Scheme II
- On the Complexity of Counting Orderings in Graphs
- Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks
- Computing Lewis weights to high precision using local relative smoothness
- An FPT algorithm for cycle rank on semi-complete digraphs
- Dipole Diffusion Error in Thin Geometry: Optical Thickness Laws for Grid-Free Subsurface Scattering
- Algorithmic exploration of the unit distance problem in the rational plane
- Dynamical System Characterization of Heterogeneous Walker Satellite Networks: An Orbit-Aware Stochastic Geometry Perspective
- Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification
- Structured Proper Loss Geometries for Multiclass Classification: Theory and Controlled Empirical Evaluation
- Chamber geometry and specification numbers of Boolean threshold functions
- Optimizer Memory Makes Shuffle Order a First-Order Source of Fine-Tuning Noise
- STEMGym: Benchmarking Sequential Decision-Making under Dose Budgets in Autonomous Electron Microscopy
- How AI settled the complexity of the oldest SGD algorithm
- On design-unbiased algorithmic Machine Learning
- Reduction of Probabilistic Chemical Reaction Networks
- Difference of Convex Programming in the Wasserstein Space with Applications to MMD Optimization
- The quantum instrument monad
- Spectral clustering of time-evolving networks using spatio-temporal random walks
- MathModDB: A Database for Mathematical Models
- Fast and Feasible: Permutation-based Constrained Reranking for Revenue Maximization
- Discrete Event Population Updates: finding game theoretic emergent behaviour in queueing systems with simulation
- Dangerous Liaisons of Convex Learning and Non-Affine Aggregation
- Recovering Sharp Conductivity Features in the Finite-Data Calderón Problem with Physics-Informed Neural Networks
- VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing
- Pairwise Reflection Symmetry in Generalized Latin Rectangles
- Modelling Emotional Memory in Children with Tensor Networks
- Geometric Measurements of the Axiom of Choice in Neural Proof Embeddings
- Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model
- A Fast Convergent Algorithm for Solving Non-convex Partially-Decoupled Generalized Nash Equilibrium Problems
- Adaptive Bayes exactly tracks information over intrinsic time
- General purpose graphical rendering on quantum devices with composable function systems
- Learning Probabilistic Filters with Strictly Proper Scoring Rules
- Existence of Pure Strategy Nash Equilibria in Finite Noncooperative Games
- Fast Enumeration of Minimal Removable Sets in Monotone Systems with Application to Core Collapse Analysis
- Zero-Shot Size Transfer for Neural ODEs on Sparse Random Graphs: Graphon Limits and Adjoint Convergence
- Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation
- Random Walk on Bézier Curves for Global Optimization
- On-Demand Service Zone Design for Energy-Constrained Spatial Queueing Systems
- Effective Resistance-Based Graph Sparsification and Community Detection
- Holistic Multivariance Decomposition: Adapting Mode Interrelations in Low-Rank Tensor Approximations
- Finding Stationary Points by Comparisons
- Proof of the Density Threshold Conjecture for Pinwheel Scheduling
- Linear Code Conversion in the Merge Regime: General Bounds and Reed-Muller Constructions
- CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms
- Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs
- Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity
- All you need is log
- Error-Conditioned Neural Solvers